everlier

9 ms·

91.
by everlier 10mo ago
So many comments about reasoning here, yet none about the very obvious one, it's not stability of the infrastructure, it's future direction of a product like Claude Code. They need to know how to continue their optimisation machin
92.
by everlier 10mo ago
I was, for a long time, scared of my future due to the low/no-code, automation, LLMs, outsourcing, etc. Until, at some point, I realised something simple - the risk factor for my job is not determined by how good new tools are, but onl
93.
by everlier 10mo ago
I feel like there's a story behind multimodal architectures not being integrated into the main package by default
94.
by everlier 10mo ago
Nice use of Flutter!
95.
by everlier 11mo ago
I'm getting disillusioned with the big clouds, all of the reports about account hacking, 20m to find how much you have to pay for a thing in a thing you didn't know that needs to be paid for... Co-location or a VPS seems like a be
96.
by everlier 11mo ago
To save a click, in 2022, the distribution was: Linux - 46.25%, MacOS - 32.21%, Windows - 21.54%
97.
by everlier 11mo ago
There was another technique "klmbr" a year or so ago: https://github.com/av/klmbr At a highest setting, It was unparseable by the LLMs at the time. Now, however, it looks like all major foundational models h
98.
by everlier 11mo ago
Their agents can natively read files and webpages from URLs. It's so convenient, I've implemented identical feature for our product at work.
99.
by everlier 11mo ago
Mostly depends on which features are most important for you. I'm a SWE, so using their Assistant for Web RAG nearly exclusively for work-related stuff and for most of my personal queries. I'm rarely using multi-modal content, most
100.
by everlier 11mo ago
How do you like bugs where tools are not working, but only for Ollama provider and only when streaming is enabled? This is one of the real instances I had to debug with LiteLLM.
101.
by everlier 11mo ago
Training or integration?
102.
by everlier 11mo ago
I work on Harbor ( https://github.com/av/harbor ), it is a project to save hours when setting up LLMs locally. I pre-integrated over 50 different LLM-related projects, added a nice CLI and a Desktop app on top to manage
103.
by everlier 1y ago
If my understanding is correct, this only makes sense for codebases that do not fit in memory of a largest build box an organisation can run
104.
by everlier 1y ago
Opus 4.1 is not great at writing articles and LLMs are terrible at generating new ideas.
105.
by everlier 1y ago
I can't wrap my head around possible yields, as the method relies on diamond crystals forming in the heat-conducting pillars within the chip, so if the process less than perfect - it can be a source of delayed failure from termal issue
106.
Use local LLM to neutralise the headers on the web(github.com)
1 points by everlier 1y ago|0 comments
107.
by everlier 1y ago
Something like https://github.com/av/klmbr could also work
108.
by everlier 2y ago
This is a "Deep Dive" podcast generated with the NotebookLM using information from Harbor's Wiki. Harbor is a containerized LLM toolkit that allows you to run LLMs and additional services via a concise CLI. Repository: https
109.
by everlier 2y ago
Harbor is a toolkit for working with LLMs locally, it got an upgrade recently - an LLM proxy (called boost). It comes with first-class support for streaming, multiple downstream APIs and custom modules, aka scripts you can write to bash som
110.
by everlier 2y ago
I had the same situation, maybe gods are angry at us due to some reason.
111.
Klmbr – prompt pre-processing to induce entropy(github.com)
4 points by everlier 2y ago|0 comments
112.
by everlier 2y ago
Building a toolkit to save hours of time when working with LLMs locally. For example, adding a TTS or Web RAG to the Open WebUI setup both are a single command. https://github.com/av/harbor
113.
Show HN: Harbor – Containerized LLM Toolkit(github.com)
2 points by everlier 2y ago|0 comments
114.
by everlier 3y ago
txtai accomplished a similar task by fine tuning a very small t5 model, notebook with usage samples (training code has to be somewhere near) https://github.com/neuml/txtai/blob/master/examples/33_Que
115.
Neumorphic interfaces with Flutter (and a bit more about design in general)(medium.com)
1 points by everlier 7y ago|0 comments
116.
Particle Systems (For Puffs and Zaps) with Flutter(medium.com)
2 points by everlier 7y ago|0 comments
117.
Flutter: Brushed Metal Texture(medium.com)
1 points by everlier 7y ago|0 comments
118.
Procedural Textures with Flutter(medium.com)
1 points by everlier 7y ago|0 comments
119.
What I Learned Developing Games from Scratch with Flutter(medium.com)
1 points by everlier 7y ago|0 comments
120.
by everlier 8y ago
EVRYTHNG Platform docs are extremely thorough and versatile. There're also lots of guides and examples covering how to work with their platform. Taking into account complexity and amount of abstractions, those are one of the best docs

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